| Prediction of the ASTM and TBP distillation curves and specific gravity distribution curve for fuels and petroleum fluids,The Canadian Journal of Chemical Engineering | 您所在的位置：网站首页 › d86蒸馏曲线 比重 › Prediction of the ASTM and TBP distillation curves and specific gravity distribution curve for fuels and petroleum fluids,The Canadian Journal of Chemical Engineering |
Prediction of the ASTM and TBP distillation curves and specific gravity distribution curve for fuels and petroleum fluids,The Canadian Journal of Chemical Engineering
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A predictive approach called the six-point method is developed to construct distillation curves of different petroleum fluids based on the information of six points of the distillation curve at volume percentages (5, 10, 30, 50, 70, and 90). Indeed, six diverse mathematical equations are developed, which establish relationships between the six mentioned distillation temperatures and physical properties (SG and Tb) of petroleum fluids. Having predicted the six points, a third-order polynomial curve can easily be fitted over these data. Accordingly, the six-point method is well capable of predicting the distillation curve of both American Society for Testing and Materials (ASTM) D86 and true boiling point (TBP) data for any arbitrary petroleum fluid using only their physical properties. Two auxiliary relations are also presented to estimate the physical properties that may not be available for a petroleum fraction. These relations enable the model to receive pairs of (Mw,SG) and (Mw,Tb) as input parameters, instead of (SG,Tb). A useful transfer function is also developed to convert the TBP curve predicted by the six-point method to the specific gravity distribution curve. Furthermore, a new set of experimental data obtained from the distillation test is also presented in this work. The experiment has been performed on the petroleum cuts resulting from the crude oil atmospheric distillation unit and Linear Alkyl Benzene (LAB) production unit. The model performance was carefully evaluated against a wide range of literature data as well as new experimental data provided in this study, and the mean of average absolute deviations (AAD%) values was 1.98% for about 233 samples, including 2039 data points.
中文翻译：
开发了一种称为六点法的预测方法，以基于体积百分比（5、10、30、50、70 和 90）的蒸馏曲线的六个点的信息构建不同石油流体的蒸馏曲线。实际上，开发了六个不同的数学方程，它们建立了所提到的六个蒸馏温度和物理性质之间的关系（SG和吨b) 石油流体。预测这六个点后，可以很容易地在这些数据上拟合三阶多项式曲线。因此，六点法能够很好地预测美国材料与试验协会 (ASTM) D86 的蒸馏曲线和仅使用其物理特性的任意石油流体的真实沸点 (TBP) 数据。还提出了两个辅助关系来估计石油馏分可能无法获得的物理性质。这些关系使模型能够接收成对的 (分子量,SG） 和 （分子量,吨b) 作为输入参数，而不是 (SG,吨b）。还开发了一个有用的传递函数，将六点法预测的 TBP 曲线转换为比重分布曲线。此外，这项工作还提供了从蒸馏测试中获得的一组新的实验数据。该实验是在原油常压蒸馏装置和直链烷基苯 (LAB) 生产装置产生的石油馏分上进行的。根据广泛的文献数据以及本研究中提供的新实验数据对模型性能进行了仔细评估，大约 233 个样本（包括 2039 个数据点）的平均绝对偏差 (AAD%) 值为 1.98%。 |
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